davidrichards

fathom

Decision Support in Ruby

analysis_prep

Extract data for machine learning and other analysis.

slip_box

Research is more powerful and fulfilling with a slip box: read with a pen, curate permanent notes, keep citations.

agency

An extract from Tegu's WorkloadManager, interchangeable machine learning agents.

cradle

An application to demonstrate data features (by putting the repetitive/boring parts in here).

re_demo_rails

Provide a recommendation engine demonstration using Rails

utah_data_science_meetups

Presentation Notes (iPython Notebooks)

bayeslite

BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

blog

Temporary example for training

crosscat

A domain-general, Bayesian method for analyzing high-dimensional data tables

csdl

AST Processor and Query Builder for DataSift's CSDL language

data_lab

Data lab tools (use this as a foundation for your own lab).

davidrichards.github.io

My Blog

demo

Some demonstration code, may be interesting for learning.

elixir-statistics

Statistical functions and distributions for Elixir

fast_template

Build a FastAPI application using conventional Python and layered architecture.

fastai_docs

dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)

get_data_chops

learn_terraform

Slips, terraform configurations, and documentation while I learn how to use this tool.

nmatrix

Prototype numeric matrix library for Ruby via SciRuby

ogden_school_district

pivot_table

Transform an ActiveRecord-ish data set into pivot table

PredictionIO

PredictionIO, a prediction server for data engineers and software developers.

random_notebooks

iPython Notebooks I choose to share

recovery

Gather and apply local information about Covid-19 recovery, recommendations, and results.

rubyhop

Super awesome hopping game

skylab

Demonstration of Relay and GraphQL in Phoenix

stack

Practice setting up an ML stack and a data lab

weight-loss

Machine Learning meets ketosis: how to effectively lose weight

zen-textarea